English Character Image Feature Semantic Block Processing for English-Chinese Machine Translation

English character image feature semantic block processing for English-Chinese machine translation is studied in this paper. Prediction result fusion is a means implemented in the decoding process, by integrating the probability distributions obtained by different models to obtain new solutions, and then predict the next target end word. This paper enhances the GANs model to obtain the efficient data mining framework. As use the different model structures and the different random initialization seeds. Because only the initialization parameters of the model are changed, the structural differences of similar network models are too small. In order to increase the differences between models, this article uses integrated learning to build a smart translation system. The experiment results have proven the performance of the proposed model.